746,022open jobs
44,798companies
108,231added this week
Browse all
Salary
$120k – $250k per year
Location
Hybrid (Austin, United States)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
AI You Own Owned Intelligence. Built for Enterprise. The open infrastructure, tools, and expertise to build AI your organization actually owns, not rents.

Who We Are

Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.

OpenTeams exists to make ownership possible.

Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.

If that sounds like your kind of work, we'd like to meet you.

Platform Engineer, AI/ML Infrastructure

Location:   U.S - Remote OR Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO. 

Work Authorization: U.S. citizenship required

Clearance:  U.S.-Remote Opening: An active clearance is not required. Candidates must be eligible and willing to obtain and maintain a U.S. security clearance. Hybrid Opening: An active TS/SCI clearance is preferred. Candidates may also be considered if they previously held a TS/SCI with CI polygraph or currently hold an active TS or Secret clearance.

Salary Range: $120,000-$250,000 USD, dependent on experience level and location

Openings: Two positions are available:

  • One hybrid position: Candidates must be located in or willing to work hybrid from Washington, DC; Denver, CO; or Colorado Springs, CO. An active TS/SCI clearance is required. Up to 15% travel is required.
  • One U.S.-remote position: Candidates may work remotely from anywhere in the United States. An active clearance is not required, but candidates must be willing and able to undergo the process required to obtain and maintain a U.S. security clearance.

Candidates will be considered for the opening that best aligns with their location, clearance status, experience, and work preferences. Candidates who meet the requirements for multiple openings may be considered for more than one.

Candidates will be considered for the opening that best aligns with their location, clearance status, experience, and work preferences. Candidates who meet the requirements for multiple openings may be considered for more than one.

About the Role

OpenTeams builds AI platforms that governments and enterprises own outright: the infrastructure, the data, the models, and the evidence that the whole thing does what it claims. We're hiring several engineers to build and run that infrastructure.

The work spans the full depth of an AI platform. The Kubernetes clusters that schedule GPU workloads, move large datasets, and keep tenants isolated from one another. The services that make it a platform rather than a cluster: workflow orchestration, data ingest, model serving, policy enforcement, audit logging. The delivery path that gets released into production reliably and can prove what it shipped. The cloud infrastructure that ties it all together, and the operational practices that keep a distributed system resilient.

Much of this has to run where you can't assume normal cloud resources, or even an internet connection. That constraint is the interesting part of the job. Portability, reproducibility, and operability are design inputs from the first commit rather than problems handed downstream.

We build on open source and contribute back. Kubernetes, Terraform and OpenTofu, Argo, Prometheus, Nebari, and others. Upstream work is part of the job, not something you do on weekends.

This posting covers multiple roles, spanning mid-level through senior. We understand nobody spans every area above, so tell us where you fit. We assign level-based roles based on what you've actually done rather than a year count.

Key Responsibilities

  • Build and operate Kubernetes-based infrastructure for demanding AI/ML workloads, including GPU scheduling, resource management, and multi-tenant isolation
  • Design and implement platform services for orchestration, data ingest, model serving, and results management behind documented APIs
  • Write infrastructure as code and build GitOps pipelines so environments are reproducible from source
  • Build and operate CI/CD pipelines that produce versioned, signed, scanned release artifacts along with the documentation needed to deploy them
  • Own reliability: capacity planning, upgrade paths, failure-mode analysis, backup and recovery, incident response, and postmortems
  • Implement monitoring, logging, tracing, and alerting, and define the service level objectives they're measured against
  • Deploy and validate the platform in restricted, disconnected, or limited-connectivity environments, and verify parity after each release
  • Keep the platform portable by constraining dependencies to what's confirmed available in target environments
  • Write runbooks and operational documentation that other engineers can execute without you in the room
  • Contribute to Nebari and other open-source infrastructure, Kubernetes, and MLOps projects
  • Work with security engineers, government stakeholders, and other engineers to turn requirements into systems that hold up
  • Collaborate asynchronously across a distributed team

Required Skills & Experience

  • U.S. citizenship, and the ability to obtain and maintain a U.S. security clearance
  • Four or more years of hands-on experience building or operating production infrastructure, platforms, or distributed systems
  • Production experience with Kubernetes and containerized workloads
  • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
  • Experience with infrastructure as code and CI/CD, using tools such as Terraform, OpenTofu, Pulumi, or Helm
  • Working proficiency in Python, Go, Bash, or a comparable language
  • Experience implementing or operating production monitoring and observability
  • Ability to write documentation, runbooks, and deployment procedures that other people can actually follow
  • Ability to work independently and collaborate well in a remote, distributed team

Nice to Have

You will not have all of these, and very few people will. They're the things that would help, not a checklist. If the required list above describes you, apply.

  • An active U.S. security clearance, particularly TS/SCI with CI polygraph
  • Experience deploying or operating software in air-gapped, disconnected, or otherwise restricted environments
  • Experience with Department of Defense, Intelligence Community, or comparably regulated programsFamiliarity with the Risk Management Framework, NIST 800-53 or 800-171, or similar frameworks, and with producing the evidence they require
  • Experience supporting an Authorization to Operate, or with continuous ATO modelsSupply chain security work: hardened images, artifact signing, SBOM generation, dependency and container scanning, policy enforcement
  • Familiarity with cross-domain solutions, guards, data diodes, or similar transfer mechanisms
  • Experience with classified cloud environments, including AWS Secret or Top Secret regionsA DoD 8140/8570 qualifying certification such as Security+, CISSP, CASP+, or CISM, or willingness to obtain one after joining
  • Experience building MLOps pipelines or infrastructure for AI/ML workloads
  • Experience with GPU scheduling, distributed inference, or large-scale data and evaluation pipelines
  • Experience with model-serving or gateway frameworks such as KServe, vLLM, or LLM-DExperience designing API-first services and vendor-agnostic platforms that run across multiple environments
  • Experience with agentic workflow frameworks or multi-step AI pipeline orchestration
  • Contributions to open-source Kubernetes, infrastructure, MLOps, or observability projects, and experience with Nebari specifically
  • Familiarity with data sovereignty and privacy requirements for enterprise or government AI systems
  • Experience leading technical initiatives, setting engineering standards, or mentoring other engineers
  • Experience supporting rapid prototyping programs or defense innovation initiatives

Grow With Us

At OpenTeams, growth isn’t just about the company-it’s about you.

We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact.

Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily.  That global perspective and diversity makes our solution more universal and robust.  We are committed to continuing to celebrate diversity on our team.

Supported people are successful people.  We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.

We invest  in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration.

Commitment to diversity, equity, inclusion, and belonging

OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.

We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
746,022 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Austin
≈ $145k – $253k per year (Estimated) • Equity • Remote (United States) • Full-Time • 5+ years exp • United States
Python
Go
AI/ML
AI Agents
LLM
Knowledge Graph
Agentic Workflows
DevOps
Kubernetes
Platform Engineering
Cybersecurity
Crowdstrike
Analytics
A/B Testing
Apply
AI Software Engineer 11 days ago
$110k – $150k per year • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • United States
Python
JavaScript
Java
TypeScript
Node JS
Python
FastAPI
Java
Spring Boot
AI/ML
LangChain
Fine-tuning
Prompt Engineering
Multimodal AI
AI Agents
LLM
RAG
OpenAI
Hugging Face
LLMOps
Edge AI
Machine Learning
Frontend
Angular
React.js
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $137k – $250k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • PhD • United States
Python
Java
Java
Spring Boot
AI/ML
Machine Learning
DevOps
GCP
GitHub Actions
Azure
CI/CD
Jenkins
AWS
Twelve-Factor App
Apply
CXO AI Engineer 3 hours ago
≈ $152k – $265k per year (Estimated) • Equity • Remote (United States) • 5+ years exp
Python
SQL
Databases
Amazon Redshift
Trino
AI/ML
Model Context Protocol
dbt
Function Calling
AI Agents
LLM
RAG
Context Engineering
Tool Use
DevOps
SLI/SLO/SLA
Management
Slack
Apply
$74k – $220k per year • Remote (United States) • Full-Time • 7+ years exp • High School Diploma • Philadelphia
Python
Java
AI/ML
Copilot
Cursor
LangGraph
AutoGen
LangChain
Claude Code
Prompt Engineering
AI Agents
Semantic Kernel
CrewAI
RAG
Multi-Agent Systems
DevOps
Rest API
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Apply
$199k – $298k per year • Equity • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Seattle
Python
SQL
AI/ML
Model Context Protocol
Function Calling
LLM
RAG
Structured Outputs
Tool Use
Copilot Studio
DevOps
Git
Cybersecurity
Least Privilege
Analytics
Tableau
Management
SharePoint
Apply
$165k – $227k per year • In office • Full-Time • 16+ years exp • Bachelor's Degree • Englewood
Python
PowerShell
AI/ML
Machine Learning
DevOps
Azure DevOps
Azure
CI/CD
AWS
AIOps
SLI/SLO/SLA
GitHub
Management
ITIL
Apply
up to $92k per year • In office • Bachelor's Degree
Python
JavaScript
MATLAB
Apply
In office • Full-Time • 2+ years exp • Bachelor's Degree • Mexico
Python
SQL
C#
Cybersecurity
GDPR
Analytics
Power BI
Apply
In office • Full-Time
Python
AI/ML
Model Context Protocol
Multimodal AI
AI Agents
LLM
OpenAI
Anthropic
Apply
$145k – $250k per year • Remote (United States) • PhD
Python
AI/ML
SciPy
TensorFlow
NumPy
PyTorch
Time Series Forecasting
Machine Learning
DevOps
GCP
Travis CI
Apply
$145k – $250k per year • Hybrid • TS/SCI • 5+ years exp • Bachelor's Degree • Austin
Python
Go
JavaScript
TypeScript
AI/ML
SciPy
AI Agents
NumPy
PyTorch
Human-in-the-Loop
Frontend
Vue.js
Svelte
GraphQL
React.js
DevOps
Rest API
CI/CD
Git
Travis CI
Cybersecurity
PKI
Apply
Systems Engineer 7 hours ago
$85k – $120k per year • Remote (United States) • PhD
Python
JavaScript
SQL
Bash
AI/ML
SciPy
NumPy
PyTorch
Frontend
Astro
DevOps
Terraform
Ansible
GCP
Helm
GitHub Actions
OpenTelemetry
OpenTofu
Prometheus
Pulumi
Azure
CI/CD
GitOps
ArgoCD
Git
AWS
Kubernetes
Grafana
Travis CI
kubectl
IAM
Linux
DNS
DHCP
Cybersecurity
Keycloak
NIST 800-53
FedRAMP
Management
Slack
Google Workspace
Apply
$120k – $150k per year • Remote (United States) • Bachelor's Degree
Python
SQL
AI/ML
SciPy
NumPy
PyTorch
Machine Learning
Apply
$85k – $200k per year • Remote (United States) • Full-Time • 3+ years exp • PhD
Python
C++
Cython
C++
CMake
PyTorch C++
Cython
Setuptools
Meson
AI/ML
SciPy
NumPy
PyTorch
DevOps
CI/CD
Travis CI
JFrog Artifactory
GitHub
Windows
Apply
$60k – $76k per year • Hybrid • Contractor • Bachelor's Degree • Houston • Tucson • Overland Park • Phoenix • Las Vegas
Management
Microsoft Office
Apply
Solutions Engineer 8 hours ago
$209k – $275k per year • Equity • Hybrid • Full-Time • 5+ years exp • Austin • Bellevue
DevOps
AWS
Grafana
Apply
$165k – $241k per year • Equity • Remote (United States) • Full-Time • 8+ years exp • Bachelor's Degree • San Jose • Austin
Management
SharePoint
Apply
$187k – $308k per year • Equity • Remote (United States, CT hours) • Full-Time • 8+ years exp • Bachelor's Degree • Ann Arbor • Austin
Python
JavaScript
TypeScript
AI/ML
AI Agents
Frontend
React.js
DevOps
Rest API
CI/CD
IAM
Cybersecurity
Zero Trust
Management
Agile
QA
Swagger
Apply
≈ $93k – $189k per year (Estimated) • In office • Full-Time • 2+ years exp • Austin
Java
Kotlin
Databases
Apache Kafka
AI/ML
Flink
DevOps
Rest API
GCP
Azure
AWS
Docker
Apply
See all jobs
This is one of many
746,022 more open roles from verified company boards, updated every day.